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An AI-Based Technique for Fault Location in Inverter-Based Active Distribution Networks
Morteza Behbahanipour
, Seyed Fariborz Zarei
,
Mohammadhadi Shateri
École de technologie supérieure
Systems Engineering Department
LIVIA - Imaging, Vision and Artificial Intelligence Laboratory
Qom University of Technology
Research output
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Contribution to journal
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Journal Article
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peer-review
Overview
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Engineering
Active Distribution Network
100%
Artificial Intelligence
100%
Convolutional Neural Network
40%
Distribution Network
20%
Inverter
100%
Limited Number
20%
Load Condition
20%
One Dimensional
20%
Traveling Wave
20%
Keyphrases
Branch number
50%
High Frequency Devices
25%
Inverter-interfaced Distributed Generator
75%
Sub-branch
25%
Computer Science
Distributed Generator
100%
One-Dimensional Convolutional Neural Network
25%
Traveling Wave
25%
Chemical Engineering
Artificial Intelligence
100%
Neural Network
25%
Earth and Planetary Sciences
Artificial Intelligence
100%
Traveling Wave
25%